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SDN based security using cognitive algorithm against DDOS

The internet and communication industry continue to develop new technologies rapidly, which has caused a boom in smart and networking device manufacturing. With new trends, operators are constantly battling towards deploying multiple systems to cater for the need of all users. The higher bandwidth u...

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Main Author: Faizan, Shah Ali
Other Authors: Mwangama, Joyce
Format: Thesis
Language:English
Published: Department of Electrical Engineering 2019
Subjects:
Electrical Engineering
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access_status_str Open Access
author Faizan, Shah Ali
author2 Mwangama, Joyce
author_browse Faizan, Shah Ali
Mwangama, Joyce
author_facet Mwangama, Joyce
Faizan, Shah Ali
author_sort Faizan, Shah Ali
collection Thesis
description The internet and communication industry continue to develop new technologies rapidly, which has caused a boom in smart and networking device manufacturing. With new trends, operators are constantly battling towards deploying multiple systems to cater for the need of all users. The higher bandwidth utilization and flexibility demanded new networking solutions which paved way for Software Defined Network (SDN). SDN is centralized platform which works with other technologies such as Network Function Virtualization (NFV) to offer reliable, flexible and centrally controllable network solutions. It offers remote access control with logical design of the system, security and resource management. Traditional and new developing networks despite their advantages present numerous security challenges. With growing users worldwide, bandwidth related security risks such as Distributed Denial of Service (DDOS) are of grave concern. This encourages towards reliable and rapid response solutions such as Cognitive Algorithms (CA) which can adapt to a threat in real time environment. This dissertation proposes the use of CA to deploy security and mitigation measures against potential DDOS flooding attack to avoid network failure and memory depletion in SDN. The experiment done in proof of concept (PoC) provided proof of greater network resource utilization by limiting the attack while mitigation policies are implemented. It also shows that CA can adapt to growing and evolving network attack strength to counter as much as possible without the intervention of the operator. The work for future solutions based on CA and Artificial Intelligence (AI) for security have been established.
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institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:33:45.686Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2019
publishDateRange 2019
publishDateSort 2019
publisher Department of Electrical Engineering
publisherStr Department of Electrical Engineering
record_format dspace
source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/29880 SDN based security using cognitive algorithm against DDOS Faizan, Shah Ali Mwangama, Joyce Electrical Engineering The internet and communication industry continue to develop new technologies rapidly, which has caused a boom in smart and networking device manufacturing. With new trends, operators are constantly battling towards deploying multiple systems to cater for the need of all users. The higher bandwidth utilization and flexibility demanded new networking solutions which paved way for Software Defined Network (SDN). SDN is centralized platform which works with other technologies such as Network Function Virtualization (NFV) to offer reliable, flexible and centrally controllable network solutions. It offers remote access control with logical design of the system, security and resource management. Traditional and new developing networks despite their advantages present numerous security challenges. With growing users worldwide, bandwidth related security risks such as Distributed Denial of Service (DDOS) are of grave concern. This encourages towards reliable and rapid response solutions such as Cognitive Algorithms (CA) which can adapt to a threat in real time environment. This dissertation proposes the use of CA to deploy security and mitigation measures against potential DDOS flooding attack to avoid network failure and memory depletion in SDN. The experiment done in proof of concept (PoC) provided proof of greater network resource utilization by limiting the attack while mitigation policies are implemented. It also shows that CA can adapt to growing and evolving network attack strength to counter as much as possible without the intervention of the operator. The work for future solutions based on CA and Artificial Intelligence (AI) for security have been established. 2019-03-01T09:15:21Z 2019-03-01T09:15:21Z 2018 2019-02-25T09:01:00Z Master Thesis Masters MSc http://hdl.handle.net/11427/29880 eng application/pdf Department of Electrical Engineering Faculty of Engineering and the Built Environment University of Cape Town
spellingShingle Electrical Engineering
Faizan, Shah Ali
SDN based security using cognitive algorithm against DDOS
thesis_degree_str Master's
title SDN based security using cognitive algorithm against DDOS
title_full SDN based security using cognitive algorithm against DDOS
title_fullStr SDN based security using cognitive algorithm against DDOS
title_full_unstemmed SDN based security using cognitive algorithm against DDOS
title_short SDN based security using cognitive algorithm against DDOS
title_sort sdn based security using cognitive algorithm against ddos
topic Electrical Engineering
url http://hdl.handle.net/11427/29880
work_keys_str_mv AT faizanshahali sdnbasedsecurityusingcognitivealgorithmagainstddos

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